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    Audience Forecasting for Digital Video Content
    1.
    发明申请
    Audience Forecasting for Digital Video Content 审中-公开

    公开(公告)号：US20190166402A1

    公开(公告)日：2019-05-30

    申请号：US15825521

    申请日：2017-11-29

    Applicant: Adobe Inc.

    Inventor： Praveen Kumar Goyal ,  Ashish Duggal ,  Atul Kumar Shrivastava ,  Prakash Tripathi ,  Kumar Mrityunjay Singh

    IPC: H04N21/466 ,  G06Q30/02 ,  G06F17/12 ,  G06F17/30 ,  H04N21/262

    Abstract: Techniques and systems are described to enable an analytics system to generate a forecast value for audience impressions of subsequent digital video content. In one example, an analytics system generated a linear regression model using data. The data describes audience segment values for past audience impressions of digital video content and a time series of when the digital video content is made available for consumption. The analytics system generates forecast values for audience impressions of digital video content using the linear regression model. In one example, the analytics system generates a forecast value for audience impressions of a subsequent item of digital video content based on scheduled availability for the subsequent item.

    ADVANCED SEGMENTATION WITH SUPERIOR CONVERSION POTENTIAL
    3.
    发明申请
    ADVANCED SEGMENTATION WITH SUPERIOR CONVERSION POTENTIAL 有权

    公开(公告)号：US20210133782A1

    公开(公告)日：2021-05-06

    申请号：US16671396

    申请日：2019-11-01

    Applicant: ADOBE INC.

    Inventor： Rushil Mahajan ,  Kumar Mrityunjay Singh

    IPC: G06Q30/02 ,  G06N20/00

    Abstract: A segmentation system utilizes a supervised learning method and a clustering analysis to identify clusters, thereby segmenting a population into groups, where the clusters are associated with various conversion potentials that indicate the probability of an event. The segmentation system employs the supervised learning method to train a model on training data comprising historical conversion data and features associated with members of the group. A subset of features is selected from a ranked order that is determined using weights generated by the supervised learning. A clustering analysis is performed for a population with respect to the subset to generate clusters. A superior cluster is identified based on it having a conversion potential greater than a conversion potential of another cluster. In a marketing context, the system can be employed to identify a superior cluster of users that have a higher conversion potential in response to an advertisement campaign.

    Advanced segmentation with superior conversion potential
    6.
    发明授权
    Advanced segmentation with superior conversion potential 有权

    公开(公告)号：US11823217B2

    公开(公告)日：2023-11-21

    申请号：US16671396

    申请日：2019-11-01

    Applicant: ADOBE INC.

    Inventor： Rushil Mahajan ,  Kumar Mrityunjay Singh

    IPC: G06Q30/00 ,  G06Q30/0204 ,  G06Q30/0251 ,  G06Q30/0201 ,  G06N20/00 ,  G06Q30/0242 ,  G06Q30/0241

    CPC classification number: G06Q30/0204 ,  G06N20/00 ,  G06Q30/0201 ,  G06Q30/0246 ,  G06Q30/0254 ,  G06Q30/0255 ,  G06Q30/0269 ,  G06Q30/0276

    Abstract: A segmentation system utilizes a supervised learning method and a clustering analysis to identify clusters, thereby segmenting a population into groups, where the clusters are associated with various conversion potentials that indicate the probability of an event. The segmentation system employs the supervised learning method to train a model on training data comprising historical conversion data and features associated with members of the group. A subset of features is selected from a ranked order that is determined using weights generated by the supervised learning. A clustering analysis is performed for a population with respect to the subset to generate clusters. A superior cluster is identified based on it having a conversion potential greater than a conversion potential of another cluster. In a marketing context, the system can be employed to identify a superior cluster of users that have a higher conversion potential in response to an advertisement campaign.

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